基于RSSI测量的改进型递归DV-Hop无线传感器网络定位算法

Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks.

作者信息

Messous Sana, Liouane Hend, Cheikhrouhou Omar, Hamam Habib

机构信息

Research Laboratory of Automatic Signal and Image Processing (LARATSI), National Engineering School of Monastir (ENIM), 5019 Monastir, Department of Electrical Engineering, University of Monastir, Monastir, Tunisia.

Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

出版信息

Sensors (Basel). 2021 Jun 17;21(12):4152. doi: 10.3390/s21124152.

DOI:10.3390/s21124152

PMID:34204293

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8233725/

Abstract

As localization represents the main backbone of several wireless sensor networks applications, several localization algorithms have been proposed in the literature. There is a growing interest in the multi-hop localization algorithms as they permit the localization of sensor nodes even if they are several hops away from anchor nodes. One of the most famous localization algorithms is the Distance Vector Hop (DV-Hop). Aiming to minimize the large localization error in the original DV-Hop algorithm, we propose an improved DV-Hop algorithm in this paper. The distance between unknown nodes and anchors is estimated using the received signal strength indication (RSSI) and the polynomial approximation. Moreover, the proposed algorithm uses a recursive computation of the localization process to improve the accuracy of position estimation. Experimental results show that the proposed localization technique minimizes the localization error and improves the localization accuracy.

摘要

由于定位是多个无线传感器网络应用的主要支柱，文献中已经提出了几种定位算法。多跳定位算法越来越受到关注，因为即使传感器节点距离锚节点有几跳之遥，它们也能实现传感器节点的定位。最著名的定位算法之一是距离矢量跳距（DV-Hop）算法。为了最小化原始DV-Hop算法中的较大定位误差，本文提出了一种改进的DV-Hop算法。利用接收信号强度指示（RSSI）和多项式近似来估计未知节点与锚节点之间的距离。此外，所提出的算法使用定位过程的递归计算来提高位置估计的准确性。实验结果表明，所提出的定位技术最小化了定位误差并提高了定位精度。